Evidence map›Paper›PMID 24056556›Full record

ReviewThe Indian journal of medical research2013

Biomarkers for the management of pre-eclampsia in pregnant women.

Lakshmi Tanuja Petla, Rosy Chikkala, K S Ratnakar, Vijayalakshmi Kodati, V Sritharan

Abstract readReview
In one paragraph

Review in The Indian journal of medical research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Antigen Analysis of Pre-Eclamptic Plasma Antibodies UsingMolecular & cellular proteomics : MCP · 2018
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lakshmi Tanuja PetlaMolecular Diagnostics & Biomarkers Laboratory, Global Hospitals, Hyderabad, India.
Rosy Chikkala
K S Ratnakar
Vijayalakshmi Kodati
V Sritharan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pre-eclampsia (PE) is a pregnancy related disorder characterized by hypertension and proteinuria noticeable after 20 wk of gestation. It is a leading cause of maternal and foetal mortality and morbidity worldwide. The aetiology of the disease is unknown, but recent studies have revealed that this disorder appears to originate in placenta and is characterized by widespread maternal endothelial dysfunction. Till date, delivery of placenta is the only cure for the disease. So, there is a need for the identification of highly specific and sensitive biochemical markers that would allow early identification of patients at risk and thus help in providing proper prenatal care. Several promising biomarkers have been proposed, alone or in combination, that may help in predicting women who are likely to develop PE. Maternal serum concentrations of these biomarkers either increase or decrease in PE during gestation. This review focuses on the various biomarkers available and their utility in predicting pre-eclampsia.

Indexed as

Acute-Phase ProteinsAntigens, CDBiomarkersEndoglinFemaleGalectinsHumansLipocalin-2LipocalinsPre-EclampsiaPregnancyPregnancy-Associated Plasma Protein-APregnancy ProteinsProto-Oncogene ProteinsReceptors, Cell SurfaceRisk FactorsAcute-Phase ProteinsAntigens, CDBiomarkersEndoglinENG protein, humanFLT1 protein, humanGalectinsLCN2 protein, humanLGALS13 protein, humanLipocalin-2LipocalinsPAPPA protein, humanPregnancy-Associated Plasma Protein-APregnancy ProteinsProto-Oncogene ProteinsReceptors, Cell SurfaceVascular Endothelial Growth Factor AVascular Endothelial Growth Factor Receptor-1

Identifiers

PMID24056556
PMCPMC3767267

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.